Shichun Tu

3.1k citations
29 papers · 1.9k indexed · 2 hit papers · h-index 15
Topics
Neuroscience and Neuropharmacology Research (12 papers)Receptor Mechanisms and Signaling (5 papers)Alzheimer's disease research and treatments (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Shichun Tu

29 papers receiving 1.9k citations

Hit Papers

Excitatory glycine receptors containing the NR3 family of...200220262010201820022014100200300400500

Peers

Shichun Tu
Comparison fields: 5 of 84
  • Molecular Biology 1000
  • Cellular and Molecular Neuroscience 953
  • Physiology 590
  • Neurology 247
  • Cognitive Neuroscience 150
Replace Kerry Cormier with:
Kerry Cormier United States
Kari R. Hoyt United States
Nadia Canu Italy
Virginia L. Smith‐Swintosky United States
Daniela Curti Italy
Patricia A. Trimmer United States
Gemma Molinaro Italy
Jian‐Sheng Kang China
Andrea Caricasole Italy
Ulrike Zeitschel Germany
Shichun Tu relative to Kerry Cormier United States Kerry Cormier's profile →
Citations per field
00.5×1.5×2.1×
Kerry Cormier · 1×
Citations per year

Countries citing papers authored by Shichun Tu

Since Specialization
Citations

This map shows the geographic impact of Shichun Tu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shichun Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shichun Tu more than expected).

Fields of papers citing papers by Shichun Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shichun Tu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shichun Tu. The network helps show where Shichun Tu may publish in the future.

Co-authorship network of co-authors of Shichun Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Shichun Tu. A scholar is included among the top collaborators of Shichun Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shichun Tu. Shichun Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 24
4 94
5 15
6 9
7 6
8 5
9 50
10 14
11 51
12
Oligomeric Aβ-induced synaptic dysfunction in Alzheimer’s diseasebreakdown →
448
13 281
14 37
15 72
16 19
17 70
18 22
19
Excitatory glycine receptors containing the NR3 family of NMDA receptor subunitsbreakdown →
520
20 7

About Shichun Tu

Shichun Tu is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cancer Research, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Receptor Mechanisms and Signaling (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (953 citations), Biological Psychiatry (94 citations) and Neurology (247 citations). Shichun Tu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stuart A. Lipton, Shu‐ichi Okamoto, Huaxi Xu, Nobuki Nakanishi, Dongxian Zhang, Yeonsook Shin, Maria Talantova, Mohd Waseem Akhtar, Jiankun Cui and Carmen R. Sunico. Their work appears in journals such as Nature, Neuron and Journal of Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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